Concurrent wasting and stunting among under‐five children in the context of Ethiopia: A generalised mixed‐effects modelling
Bibliographic record
Abstract
Abstract Concurrent wasting and stunting (WaSt) is a condition where both wasting and stunting exist in a child at the same time. This study aimed to assess the prevalence of WaSt and to identify potential associated factors in Ethiopia. A total of 33,650 children aged between 0 and 59 months were included in the analysis from the four waves of the Ethiopian Demographic and Health Survey. A mixed‐effects logistic regression model was used to identify the determinants of WaSt. The prevalence of WaSt was found to be 4.7% (95% confidence interval [CI]: (4.5–4.9)), with respectively 2.5% (95% CI: 2.1–3.1) and 4.9% (95% CI: 4.7–5.2) among children in urban and rural settings. Children: (i) in the age group 12–23 months (adjusted odds ratio [AOR]: 4.16, 95% CI: (3.20–5.42)) and 24–59 months (AOR: 3.08, 95% CI: (2.28–4.17)); (ii) who were perceived by their mothers to be smaller than normal at birth (AOR: 1.98, 95% CI: (1.57–2.50)); (iii) had diarrhoea (AOR: 1.38, 95% CI: (1.11–1.71)); and (iv) fever in the past 2 weeks (AOR: 1.38, 95% CI: (1.10–1.71)) reported higher odds of WaSt. Being a female child (AOR: 0.57, 95% CI: (0.48–0.69)), having received measles vaccination (AOR: 0.71, 95% CI: (0.55–0.89)), having a mother with a normal body mass index (18.5–24.9 kg/m 2 ) (AOR: 0.57, 95% CI: (0.48–0.68)), having a wealthier household (AOR: 0.67, 95% CI: (0.50–0.90)), and living in rural setting (AOR: 0.49, 95% CI: (0.32–0.74)) were associated with reduced odds of WaSt. The prevalence of WaSt was high, with approximately 1 in 20 Ethiopian children suffering from the condition and needing a prompt response to minimize the poor health and developmental outcomes. Children perceived by their mother to be smaller than normal at birth, older children, and babies with diarrhoea and fever had higher odds of WaSt.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".